A new artificial intelligence model called COMPASS, developed by Harvard Medical School researchers and their colleagues, improves prediction of which patients are most likely to respond to ICIs.
Visby’s multi-viral Medical Flu and Covid-19 test yields results in 30 minutes.
In a preprint published in bioRxiv, the team describes SpudCell. The system could grow, copy its DNA, divide, and take in fresh materials from smaller bubble-like structures nearby. When the team gave one version a genetic change that helped it feed more efficiently, those cells grew faster and became more common over five generations.
In a new study, researchers at the Indian Institute of Science (IISc), in collaboration with clinicians at MS Ramaiah Medical College and Hospitals, explored whether low-frequency ultrasound mechanical stimulation could selectively kill oral cancer cells.
An international team of researchers led by the University of Glasgow has created a new type of ultra-small antenna that can wirelessly transmit data through tissue to external devices.
Researchers at the Icahn School of Medicine at Mount Sinai have found that patients with Parkinson’s disease undergoing deep brain stimulation (DBS) show little to no Lewy pathology in the prefrontal cortex at the time of their DBS surgery.
In a study published in Science, USC researchers paired a biological discovery with an engineering feat to create more faithful, reproducible lab-grown kidney structures from stem cells, known as organoids.
Researchers have finally identified an effective alternative for providing pain relief during the earliest phase of prehospital care, when establishing intravenous access can be difficult. The study is published in The Lancet journal.
What if you could detect early-stage cancer with a single blood test? A new screening tool claims to do exactly that by picking up abnormal DNA fragments circulating in the bloodstream.
An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by researchers at KAIST. The team created an AI model that learns behavioral data in a manner similar to natural language and was able to independently identify social behavioral deficits in an autism mouse model, opening a new avenue for interpretable neuroscience.